20 structures-"https:"-"https:"-"https:"-"https:"-"https:" research jobs at University of British Columbia
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Intrusion-Related Gold Systems (RIRGS) in the Yukon Territory. The project investigates the structural, magmatic, and mineralogical controls on gold mineralisation at a significant new RIRGS deposit. Project
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to the knowledge of electronic structure and geometry of molecules, particularly free radicals." Dr. Gerhard Herzberg joined the NRC in 1948, and shortly after became the director of the Division of Pure Physics
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hourly position, potentially working around 5 to 20 hours per week. The UBC Smart Structures Laboratory, housed within the Department of Civil Engineering, is seeking a Research Assistant/Technician 4
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hourly position, potentially working around 5 to 20 hours per week. The UBC Smart Structures Laboratory, housed within the Department of Civil Engineering, is seeking a Research Assistant/Technician 4
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Bioinformatics and Genomics · Processes and analyzes next-generation sequencing data · Performs genome assembly, variant calling, SNP/indel analysis, structural variant detection · Conducts
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modelling techniques, such as Structural Equation Modelling (SEM), to explore the behavioral drivers of BMP adoption. Compare and contrast economic data collected from commodity groups to identify patterns
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to support routine field site maintenance and operation. Troubleshoot plumbing, electrical, and structural issues associated with field installations. Maintain and update field documentation, logs, and
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the development of excellent doctoral and postdoctoral training programmes and collaborative research projects worldwide. By doing so, they achieve a structuring impact on higher education institutions, research
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/NIFTI), raw strain measurements, and high-fidelity loading/displacement data. Image Segmentation: Perform manual or semi-automated segmentation of tissue structures from the imaging data using designated
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initiative that will advance our understanding of how genetic factors influence cardiac structure and function, and yield AI models that link phenotypic findings with genetic data to predict CVD risk and